On Improved Least Flexibility First Heuristics Superior for Packing and Stock Cutting Problems

Author(s):  
Yu-Liang Wu ◽  
Chi-Kong Chan
2017 ◽  
Vol 78 ◽  
pp. 290-298 ◽  
Author(s):  
Maxence Delorme ◽  
Manuel Iori ◽  
Silvano Martello

2016 ◽  
Author(s):  
Glaucia Maria Bressan ◽  
Giovanna Peral Salvadeo ◽  
Roberto Molina Souza

1983 ◽  
Vol 105 (3) ◽  
pp. 155-160 ◽  
Author(s):  
S. C. Sarin

In this paper methodologies available in the literature to solve two-dimensional stock cutting problems are reviewed. Several variations of the problem are discussed. An interactive optimization procedure for a general two-dimensional stock cutting problem is introduced.


2021 ◽  
Vol 11 (3) ◽  
pp. 1020
Author(s):  
Mohamadreza Afrasiabi ◽  
Hagen Klippel ◽  
Matthias Roethlin ◽  
Konrad Wegener

Smoothed Particle Hydrodynamics (SPH) is a mesh-free numerical method that can simulate metal cutting problems efficiently. The thermal modeling of such processes with SPH, nevertheless, is not straightforward. The difficulty is rooted in the computationally demanding procedures regarding convergence properties and boundary treatments, both known as SPH Grand Challenges. This paper, therefore, intends to rectify these issues in SPH cutting models by proposing two improvements: (1) Implementing a higher-order Laplacian formulation to solve the heat equation more accurately. (2) Introducing a more realistic thermal boundary condition using a robust surface detection algorithm. We employ the proposed framework to simulate an orthogonal cutting process and validate the numerical results against the available experimental measurements.


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